Machine Learning Engineer

Machine Learning Engineer Location: Bradford (Hybrid 3-days onsite) Job Type: 6-month Contract TTC Group is seeking an experienced Machine Learning Engineer to join a high-impact programme with a leading retail client in the UK. This role focuses on building scalable ML deployment environments and enhancing SDLC maturity for enterprise-level model launches. You’ll work closely with Data Science and Innovation teams to productionise models (predictive, NLP, and foundation models) and drive best practices in MLOps. Responsibilities • Design and implement end-to-end ML pipelines for scalable deployments • Establish CI/CD frameworks for ML models using modern MLOps practices • Manage model deployment lifecycle, including preprocessing, training, optimisation, and monitoring • Implement A/B testing strategies to evaluate model performance • Build and maintain container & artefact registries for ML assets • Ensure model monitoring, performance tracking, and operational support • Collaborate with Data Science teams to improve development workflows and deployment maturity • Apply code quality practices, including coverage and static analysis (e.g., Pylint) Requirements • 8–12 years of experience in Machine Learning / MLOps engineering • Strong expertise in Python • Hands-on experience with Google Cloud Platform (GCP) • Proven experience in CI/CD for ML models (CML or similar tools) • Strong understanding of ML lifecycle: data preprocessing, training, deployment, and monitoring • Experience with containerisation, artefact registries, and model versioning • Familiarity with code quality tools and best practices Nice to Have • Knowledge of DevSecOps practices • Background in Data Science • Certifications in ML, Python, or DevOps Be at the forefront of transforming how enterprise ML models are deployed, scaled, and delivered in a real-world retail environment.